I have so many abandoned shopping cart orders from this customer. Does anyone know who it is?
Micky Mouse
555 110th Ave NE
Bellevue Washington 98004
United States
4252151234
I have so many abandoned shopping cart orders from this customer. Does anyone know who it is?
Micky Mouse
555 110th Ave NE
Bellevue Washington 98004
United States
4252151234
I’m seeing them as well - half a dozen per day. I believe it’s coming from Google, or at least a Google-owned IP address. (66.249.66.3 in one case)
Seems similar to https://community.shopify.com/topic/538519 - presumably using a different name and address pattern to avoid people identifying it as Google and serving different results.
I upgraded to the new abandoned cart flow, and added a rule that prevents sending to customers with a tag assigned to them.
Same, we get hundreds a day from Bellevue!! BellevueBellevueBellevueBellevueBellevueBellevueBellevueBellevueBellevue
How do you suggest I block the bots?
We also have over 2,000 signup from different names, and emails all with this address from Bellevue.
House Number 43, Gray Colony
Bellevue Washington 98006
It’s the Google indexing bot I think.
We’re having the same thing happening right now too! Thousands of signups and abandoned checkouts a day. Different names and emails, but that same exact address in Bellevue. Completely messing up our subscriber count and analytics. Anyone have an idea on how to block this??
So MS has its technology center(s) in Bellevue WA. Any chance any of you are using MS or Bing Ads for anything or have any Bing ad scripts enabled on the sites? I have a client that is getting hundreds of abandoned checkouts with the Bellevue address as a major culprit. They recently started trying to use Bing ads just prior to the holiday shopping season and coincidently that’s when they started seeing the abandoned checkout traffic.
We’re also experiencing abandoned carts from Bellevue. We use Bing Ads and suspect that Bing or Google Shopping might be contributing to the issue. It may sound paranoid, but we’re also considering the possibility of bad actors who could benefit from inflated email registrations, lifecycle events, and session counts. For example, our email service provider charges by subscriber, our direct mail company sends abandoned checkout mail, and our search app provider recently pushed us to upgrade due to high session volume. The most likely sources of the issue are Bing Ads, Google Shopping, or a competitor scraping sales data based on inventory counts. We’re open to discussing this further with anyone interested in identifying the root cause. There may be patterns between our stores that could provide useful insights.
No, we have not worked with Bing or advertised on Bing.
How were you able to locate their IP? And would you mind sharing the flow setup to tag them and if it stopped sending emails just in Shopify’s abandon flow or if you blocked them in an ESP? Wondering how to block them from reaching checkout in the first place.
Hello,
I’m also facing this issue with bots.
Today I noticed that my abandoned carts started to fill up with users whose names were written in lowercase. I immediately thought it was some kind of bot attack. Over the past couple of days, I counted 1000+ different users living at the same address: House number 43, Gray Colony and Bellevue.
Since neither Shopify nor Google Analytics identifies visitors by IP address, I decided to try using the Blockify app (https://apps.shopify.com/blockify) and see what data it can collect today
. First of all, I want to find those IP addresses that regularly visit my store.
I’ll keep you all posted on how it goes.
Hello,
I would recommend using the Blockify app or a similar app and just observe your traffic and track visitors. You will definitely find this bot by IP. I’m also hunting for it. Good luck.
Another idea came to mind.
Go to Customers and identify all the fraudsters by address (for example by House Number 43). Assign the Fraud tag to all of them in bulk.
Next step. Add these code lines to the theme.liquid:
{% if customer %}
{% if customer.tags contains 'Fraud' %}
{% endif %}
{% endif %}
All contacts that have this shipping address will be redirected somewhere far away.
P.S. Of course, this method will not save you from creating new fraud customers.
@Viktor_Shtodler is this something you’ve done and tested in your store recently? If yes, have you been able to note any adverse issues that could be related to this?
Hello @Bekir ,
I analyzed all customers who left the cart and had a similar address: House Number 43, Gray Colony
Bellevue Washington 98006 United States. The first customer appeared 7 months ago. In total, I counted 1041 such clients for the entire period.
In general, so far, we have not noticed any problems for the company that could cause these frauds. The only thing is that it can spoil the Conversion rate analytics a bit. I’m still trying to figure out what the purpose of this fraud is.
Additionally, I analyzed my traffic and found additional problems with my affiliate traffic. I noticed that some affiliates are sending too much bot traffic for a couple of seconds per session. Like this case for example.
Now I analyze everything in detail and clean all the referrals that bring low-quality traffic to my site.
I think this BOT spammer is using a direct URLs to a checkout page with a specific product variants to bypass IP detection. And since Shopify has taken away access to the checkout page of any 3rd party apps, it is impossible to track him in any way.
Where do you add this code in the theme liquid
Curious to know if anyone else experiencing the bots from this address is using a digital agency firm to support advertising efforts. We did not have this problem until we hired an agency to do Meta ads.
Exact same problem, for us I counted 15000+ different users living at the same address: House number 43, Gray Colony and Bellevue.
If anyone has IP’s to block or any sort of solution please chime in, we are getting hundreds of abandoned checkouts every day.
I did find this: Reddit - The heart of the internet
Then create a new flow.
Trigger “Customer Created”
Conditions: “Customer Address (Address1, Address2, City, State(Province), Zip)”
Delete Customer
off sitewide
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